Machine Learning Software Engineer

THE OPPORTUNITY HUB UK LTD
Glasgow, UK
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
£45,500.0 - £70,000.0
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration Tensorflow Management of Software Versions Pytorch Machine Learning Operations

Job description

Step into this Machine Learning Software Engineer role and build something that matters in AI & Technology.

Requirements

Solid commercial experience building and deploying machine learning models, ideally 3+ years

Strong Python skills, with working knowledge of frameworks like PyTorch or TensorFlow

Comfort with MLOps practices: versioning, monitoring, CI/CD for models, not just scripts that run once

Understanding of cloud infrastructure (AWS, Azure or GCP) and how ML workloads actually run on it

The ability to explain technical trade-offs to people who aren’t engineers

A pragmatic streak. Perfect models that never ship help nobody

Benefits & conditions

Salary of £45,500 to £70,000, depending on experience

Private medical insurance and pension contribution

Hybrid working, with flexibility built in rather than bolted on

Bonus scheme tied to company and individual performance

Annual leave that respects the fact you have a life outside work

Why pursue a career in AI & Technology?

About the company

Scotland’s AI sector has grown fast, and the firms doing the interesting work tend to be the mid-sized ones, not the giants. This is one of them: an established AI & Technology company based in Glasgow, big enough to have real infrastructure and client relationships, small enough that your code ships without six layers of sign-off. They’re growing deliberately, not scrambling, and they need a Machine Learning Software Engineer who wants to build production systems rather than just tinker with notebooks.

Here’s what you’ll be doing:

Design and build machine learning pipelines that go into production, not just proof-of-concept demos

Write clean, maintainable Python code that other engineers can actually work with

Take models from research through to deployment, then keep an eye on how they perform once they’re live

Work with data engineers and product teams to turn vague requirements into working systems

Debug model drift, data quality issues, and the inevitable gap between training and reality

Document your approach clearly enough that someone else can pick it up in six months, AI & Technology isn’t slowing down, and Glasgow has quietly become one of the better UK cities to build a career in it, with a growing cluster of serious employers and a lower cost of living than London. A Machine Learning Software Engineer who can actually ship working systems will always be in demand. The skills compound too: every model you take to production makes the next one easier.

Apply for this position

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